o Jjgg @s8ddlZddlmZmZddlmZGdddeZdS)N)AnyList)StringEvaluatorcseZdZdZdddedeffddZedefd d Z edefd d Z ede e fd dZ ede fddZde de dedefddZZS)RegexMatchStringEvaluatoraCompute a regex match between the prediction and the reference. Examples ---------- >>> evaluator = RegexMatchStringEvaluator(flags=re.IGNORECASE) >>> evaluator.evaluate_strings( prediction="Mindy is the CTO", reference="^mindy.*cto$", ) # This will return {'score': 1.0} due to the IGNORECASE flag >>> evaluator = RegexMatchStringEvaluator() >>> evaluator.evaluate_strings( prediction="Mindy is the CTO", reference="^Mike.*CEO$", ) # This will return {'score': 0.0} >>> evaluator.evaluate_strings( prediction="Mindy is the CTO", reference="^Mike.*CEO$|^Mindy.*CTO$", ) # This will return {'score': 1.0} as the prediction matches the second pattern in the union rflagsrkwargsc st||_dS)N)super__init__r)selfrr __class__]/var/www/html/zoom/venv/lib/python3.10/site-packages/langchain/evaluation/regex_match/base.pyr s  z"RegexMatchStringEvaluator.__init__returncCdS)z8 This evaluator does not require input. Frr rrrrequires_input"z(RegexMatchStringEvaluator.requires_inputcCr)z6 This evaluator requires a reference. Trrrrrrequires_reference)rz,RegexMatchStringEvaluator.requires_referencecCsddgS)z^ Get the input keys. Returns: List[str]: The input keys. reference predictionrrrrr input_keys0sz$RegexMatchStringEvaluator.input_keyscCr)zb Get the evaluation name. Returns: str: The evaluation name. regex_matchrrrrrevaluation_name:sz)RegexMatchStringEvaluator.evaluation_namerrcKs"tj|||jd}dtt|iS)a7 Evaluate the regex match between the prediction and the reference. Args: prediction (str): The prediction string. reference (Optional[str], optional): The reference regex pattern. Returns: dict: The evaluation results containing the score. rscore)rematchrintbool)r rrrrrrr_evaluate_stringsDsz+RegexMatchStringEvaluator._evaluate_strings)__name__ __module__ __qualname____doc__rrr propertyrrrrstrrrdictr __classcell__rrr rrs(  r)rtypingrrlangchain.evaluation.schemarrrrrrs